Version: 91.1

\[\\[.0005in]\] PARAMETERS OPTIMIZED
X__STOf.Timeframe and X__STOf.Length

BEST PARAMETERS
X__STOf.Timeframe = 45
X__STOf.Length = 20
Profit account= 211 (per day adjusted to desire% DD )
Activity = 9.17 (Cumulative number of entries in all pairs per week)
Desire DD = 10

\[\\[.0005in]\]

Profit per day standardized to the desire percent dropdown
Exclude pairs that when standardized to DD enter with less than $1,000 and pairs that fail to enter once a week



Capping pairs profit per day standardized to a desire percent dropdown
The figure below is like the one above but capping the profits of all pairs to a traget of 1%, this avoids biasing the summary results of an account when only a handful of pairs yield very large profits. This figure basically trying to provide a sense of the extent to which the strategy is profitable across pairs.



Comparison to prior optimizations of this robot. Double click on the plot to deselect all columns.



Number of pairs that meet 1% profit target



Results for X__STOf.Timeframe = 45 and X__STOf.Length = 20

Best parameters
Profit nDays MaxDDMoney nLostEntries nEntries nWinTrades PercDD X Y Pair DDAccount DD3Perc MoneyEntryAdjusted ProfitAt3Perc ProfitStan3PercDay PercentDaysActive FailByAmount FailByTimeActive MeetTarget
73 1995.05 427.15 198.37 5 158 75 -0.7 45 20 EURGBP 0.6612333 1512.3255 453697.64 30171.64894 70.6347862 0.3698935 No No Yes
269 3627.16 432.99 559.51 7 403 177 -1.9 45 20 GBPUSD 1.8650333 536.1834 160855.03 19448.23149 44.9161216 0.9307374 No No Yes
318 2231.82 409.60 665.54 9 407 166 -2.2 45 20 NZDUSD 2.2184667 450.7618 135228.54 10060.19172 24.5610150 0.9936523 No No No
220 2258.41 412.49 735.11 13 401 161 -2.5 45 20 GBPJPY 2.4503667 408.1022 122430.66 9216.62064 22.3438644 0.9721448 No No No
122 1512.39 403.92 662.31 8 319 123 -2.2 45 20 EURJPY 2.2077000 452.9601 135888.03 6850.52317 16.9600990 0.7897603 No No No
25 1438.63 420.27 752.92 16 423 160 -2.5 45 20 AUDUSD 2.5097333 398.4487 119534.61 5732.20262 13.6393333 1.0064958 No No No
171 800.17 433.99 458.49 10 338 127 -1.5 45 20 EURUSD 1.5283000 654.3218 196296.54 5235.68671 12.0640722 0.7788198 No No No
514 1628.93 430.84 2084.11 15 635 238 -6.9 45 20 XAUUSD 6.9470333 143.9463 43183.90 2344.78506 5.4423569 1.4738650 No No No
465 734.61 430.11 1208.38 10 332 121 -4.0 45 20 USDJPY 4.0279333 248.2663 74479.88 1823.78887 4.2402848 0.7718956 No No No
367 26.17 420.93 999.56 10 220 77 -3.3 45 20 USDCAD 3.3318667 300.1321 90039.62 78.54456 0.1865977 0.5226522 No No No
416 -1747.29 426.71 2873.64 16 343 103 -9.6 45 20 USDCHF 9.5788000 104.3972 31319.16 -1824.12202 -4.2748518 0.8038246 No No No

Results by pair

\[\\[.005in]\]

Results by pair capped to desired 1% profit
This is the same as above, but caps pairs to max desire profit to avoid visual bias by pairs with very lage profits

\[\\[.005in]\]

Results within desire DD, top 5 with most winning trades, and ranked by Profit per day at desire DD
One is in the search of a unique combination of parameters that can be used across forex pairs; the reality is, however, that they represent countries with vast differences in economic power, which can cause specific patterns within certain pairs, thus, in most likelihoods parameters are specific to each forex pair. Here I show the best results for each pair.

\[\\[.005in]\]
Default parameters
Parameter Value
3 X__Name.for.robot Karol
4 X__Show.only.entry.triggers true
5 X__Show.only.Exit.triggers 0
6 X__Show.labels.for.type.of.signals 0
7 X__Trading.times 19:45
8 X__Source close
9 X__Cash.each.entry 30 000
10 X__Minimum.profit.take 0.2
11 X__Stop.loss..close.positions.when.lossing.this.much.percent 0.1
12 X__Stochastic.slow.for.direction true
13 X__Stochastic.slow.for.position true
14 X__STOs.Threshold 20
15 X__STOs.TimeFrame 3 hours
16 X__STOs.Length 44
17 X__STOs.Smoothing 16
18 X__Stochastic.fast.for.direction true
19 X__Stochastic.fast.for.position true
20 X__STOf.Threshold 50
21 X__STOf.Timeframe 1 minute
22 X__STOf.Length 5
23 X__STOf.Smoothing 16
24 X__030.Percentage.Price.Oscillator.for.trigger 0
25 X__PPO.Fast.Type EMA
26 X__PPO.Fast.Length 15
27 X__PPO.Slow.Type Geometric_Mean
28 X__PPO.Slow.Length 200
29 X__PPO.Threshold 0.05
30 X__PPO.Timeframe 15 minutes
31 X__User.SuperTrend.as.exit 0
32 X__Fast.SuperTrend.time.frame 1 minute
33 X__Fast.Super.trend.ATR.Length 200